All Novatech Deep Learning systems have been designed with performance and stability in mind. All
our systems go through detailed Q+A as well as Q+C inspections before being deployed, typically this
is done over 24-48 hours. Training systems are defined by the users need for far higher levels of GPU
compute, Scalability, and accessibility. Typically, the experiments users are running are of a more
complicated nature and using much larger data sets. These systems are normally always rack
mounted and would normally use a minimum of x4 GPU’s.